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Douglas A. WiensView profile

Professor

• Seismology
• Geophysics
• Antarctic Studies
• +3 more

Douglas A. Wiens is the Robert S. Brookings Distinguished Professor of Earth, Environmental, and Planetary Sciences at Washington University in St. Louis. His research focuses on using seismology to study subduction zones, Antarctic geodynamics, and ice-earth interactions. Wiens has pioneered autonomous seismic deployments in Antarctica, achieving the first successful year-long unattended data collection. He investigates seismic imaging of Antarctica's lithosphere to understand ice sheet stability and past climate changes. Education : PhD in Geophysics from Northwestern University. His work integrates ocean bottom seismometers (OBS) and distributed acoustic sensing (DAS) to study mantle hydration, fault mechanics, and glacial dynamics. Research Interests : Wiens specializes in seismic tomography of subduction zones (e.g., Tonga, Alaska, Mariana), Antarctic crustal structure, and the interplay between ice mass loss and tectonic deformation. He explores how mantle viscosity influences sea level projections and investigates tidally triggered cryoseismicity at ice shelves. Key Contributions : Developed second-generation seismic models of Antarctica using adjoint tomography, characterized slab morphology in the Tonga subduction zone, and mapped crustal architecture in the Midcontinent Rift. His studies on Patagonian slab windows link lithospheric erosion to glacial isostasy. Labs/Teams : Leads the Seismology Research Group and participates in the McDonnell Center for the Space Sciences . Collaborates with NSF-funded initiatives like the Antarctica Network-Polar Earth Observing Network (AN-POLE).

Todd BerrethView profile

Assistant Professor

• Human-Computer Interaction
• Interactive Art and Media
• Visual Narrative
• +6 more

Todd Berreth is an Assistant Professor of Media Arts, Design and Technology in the College of Design at North Carolina State University and a core faculty member of the Chancellor’s Visual Narrative Cluster. His work bridges design, art, and technology to create innovative interactive experiences that transform narrative consumption and production. His educational background includes a Master of Architecture from the University of Pennsylvania, where he won the Paul Philippe Cret Medal for top graduate design thesis, and a Bachelor of Arts in Studio Art (Sculpture and Media Studies Concentration) from Carleton College. Berreth's research centers on human-computer interaction and visual narrative , leveraging emerging technologies like mixed reality, AI, and tangible interfaces to democratize digital humanities. He develops open-source toolkits that empower communities to alter physical environments and expand storytelling capabilities, fundamentally redefining relationships between information creators and consumers through projects like TITA and ACOMS. His publication portfolio reveals a dominant trend in augmented reality storytelling for educational and cultural contexts, with emphasis on multidisciplinary classroom applications and museum exhibition design. These works consistently integrate tangible interaction principles and open-source frameworks to enable hands-on narrative exploration. Notable recognitions include the Paul Philippe Cret Medal, Van Alan Traveling Fellowship, Arthur Spayd Brooke Prize, and an Outstanding Work Award at China's 2015 Tangible Interaction Design Exhibition. He was also a 3M Art and Technology Award semi-finalist. Berreth actively serves as an ACM Siggraph reviewer and juror while maintaining industry collaborations forged during his architectural career at firms like Freelon Group and Kieran Timberlake. His Duke University tenure involved cross-departmental projects merging art, engineering, and performance through sensor installations and computational media. As a Visual Narrative Cluster core member, he directs projects including The Black Tuesday Experience and Story-go-round, which deploy interactive technologies for historical simulation and cultural heritage preservation across international venues from IEEE Visweek to the China Museum of Science and Technology.

• Inversion Modeling
• Greenhouse Gases
• Anthropogenic Emissions
• +3 more

Yang Xu is a Post-doctoral researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany, working within the Department of Biogeochemical Signals and the Airborne Trace Gas Measurements research group. His primary focus involves inversion modeling of greenhouse gas emissions, with specialized expertise in urban anthropogenic and biogenic flux quantification using integrated atmospheric measurement systems. His academic credentials include: Ph.D. in Geosciences from Université Paris-Saclay, France (2019-2023), thesis: "Analysis of atmospheric CO2 measurements in Mexico City" M.S. in Environmental Sciences from Peking University, China (2015-2018), thesis: "Evaluation of PM2.5 related health effects of the ban policy on beehive coke in China" B.S. in Statistics from Peking University, China (2012-2015) B.S. in Environmental Sciences from Peking University, China (2011-2015), thesis: "Reconstruction of PAHs emissions caused by beehive coke activities" Dr. Xu's research integrates ground-based and space-based remote sensing data to develop advanced inversion models for urban greenhouse gas flux estimation. His work in Mexico City has pioneered methodologies for reconciling satellite observations with in-situ measurements to quantify emission sources, while his earlier research in China established critical links between air pollution control policies and public health outcomes. This dual expertise positions him at the intersection of atmospheric chemistry, environmental policy, and climate science. His publication record (2017-2024) demonstrates consistent focus on urban greenhouse gas dynamics, particularly in Mexico City and Chinese metropolitan areas. Key contributions include reconciling asynchronous satellite measurements of CO2 and NO2 with mesoscale models, characterizing urban CO2 gradients using dense sensor networks, and quantifying health benefits from industrial emission controls. His methodologies bridge atmospheric physics, remote sensing technology, and environmental epidemiology. As a core researcher in Germany's Integrated Greenhouse Gas Monitoring System (ITMS) project, Dr. Xu contributes to national-scale emission verification frameworks. His current work involves operationalizing inversion modeling techniques for real-time emission monitoring across German urban centers, with no documented student supervision or external grant leadership beyond the ITMS initiative. He actively participates in the Airborne Trace Gas Measurements research group's field campaigns, which deploy advanced spectrometers for high-precision atmospheric sampling. The group's work supports both fundamental atmospheric science and practical climate policy development through rigorous emission quantification.

Sébastien LorangerView profile

Assistant Professor

• Photonics
• Fiber Optics
• Laser Technology
• +5 more

Sébastien Loranger is an Assistant Professor at Polytechnique Montréal in the Department of Electrical Engineering . His research focuses on photonics , laser technology , and optical sensing , with applications in space communications, distributed sensing, and photonic device fabrication. Education: PhD (2018), MSc (2014), and Baccalaureate (2012) in Engineering Physics from Polytechnique Montréal, followed by a postdoctoral fellowship at the Max-Planck Institute for the Science of Light in Germany. Industry experience: Research and development roles at Photonova Inc. and ITF Technologies prior to academia. Research Interests include: Femtosecond laser writing of photonic components Optical fiber sensing (distributed temperature/strain/magnetic field) THz radiation generation and anti-resonant fiber design Space applications of photonics (optical power beaming, lunar environment) Optimized Raman fiber lasers and Bragg gratings His recent publications (2024-2025) emphasize ultrafast photonics , laser-material interactions , and space-ready optical systems . He supervises graduate students like Foroogh Jafari and collaborates with institutions globally. Key affiliations include the POLY-GRAMES Research Center and the Max-Planck Institute .

• Optical Sensors
• Aerospace Engineering
• Additive Manufacturing
• +2 more

Alessandro Aimasso is a PhD student in Aerospace Engineering (38th cycle, 2022-2025) at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering (DIMEAS), where he also serves as an external lecturer and teaching assistant. He contributes to research activities at the ASTRA group (Additive Manufacturing for Systems and Structures in Aerospace) and the interdepartmental Center for Photonic Technologies PhotoNext. His research focuses on optical sensors for aeronautical and space applications, particularly Fiber Bragg Grating (FBG) technology for system lifecycle management. Specific interests include: Augmented reality visualization of sensor data Thermal and structural monitoring of aerospace systems Smart composites manufacturing with embedded sensors Lunar habitat construction technologies Real-time monitoring systems for spacecraft Analysis of his recent publications shows strong focus on experimental validation of FBG sensor applications in extreme environments, development of real-time monitoring systems, and integration of augmented reality for data visualization. His work frequently involves rapid prototyping and multidisciplinary approaches to aerospace challenges. He holds two patents: USE AND INTEGRATION OF SENSORS IN THE STRUCTURE AND EQUIPMENT OF COMPLEX MACHINES FOR THE DEVELOPMENT OF INTELLIGENT MONITORING SYSTEMS AND CREATION OF MULTIFUNCTIONAL VIRTUAL SENSORS Gas-dynamic nozzle for an end-jet engine, specifically a launcher As a teaching assistant, he contributes to courses on Modeling, Simulation, and Testing of Aerospace Systems, and Photonics in the Digital Revolution. His laboratory work involves the ASTRA group's facilities focusing on additive manufacturing and photonic technologies.

• Cognitive Robotics
• Augmented Reality
• Traffic Telematics
• +3 more

Prof. Dr.-Ing. Gerd-Jürgen Giefing serves as Professor of Information and Communication Technology at Georg Agricola University of Applied Sciences since 2003, concurrently leading the Electrical and Information Engineering Master's Program, Digital Signal Processing Laboratory, and serving as Deputy Head of the Software Engineering Laboratory. His academic foundation includes: Electrical engineering studies with data processing focus at University of Karlsruhe and Technical University of Munich (1983-1988) Doctorate in neuroinformatics and technical vision from Ruhr University Bochum (1988-1993) Research spans cognitive robotics with emphasis on behavior-oriented scene analysis and distributed communication frameworks, augmented reality systems, and traffic telematics applications including driver face recognition. His foundational work in biologically inspired computer vision established video-based facial capture systems using multiprocessor architectures, later evolving into cognitive robotics frameworks. Current investigations focus on brain-computer interfaces and nomadic point cloud calibration for mobile robotics. Publication trends reveal a progression from neurobiological vision models (1990s) to cognitive robotics infrastructure (2010s), consistently addressing real-world applications in automation and human-machine interaction through IEEE conference proceedings. Key recognitions: Innovation Award '94 from Bochum Technology Transfer Association European Information Technology Award 1996 from European Council for Applied Sciences and Engineering As IEEE Systems Man and Cybernetics Society member, he maintains active research leadership without documented grant specifics. His laboratory direction fosters applied research in signal processing and software engineering for cognitive systems development.

• Radar engineering and signal processing
• Cloud and precipitation microphysics and dynamics
• Boundary-layer turbulence
• +3 more

Dr. Pavlos Kollias is a Professor at Stony Brook University’s School of Marine and Atmospheric Sciences and holds a joint appointment as Atmospheric Scientist in the Environmental Science and Technologies Department at Brookhaven National Laboratory. He also serves as International Faculty at the University of Cologne and Adjunct Professor at McGill University. Education Ph.D. in Meteorology, University of Miami, 2000 M.S. in Atmospheric Science, University of Athens, Greece, 1996 B.S. in Physics, University of Athens, Greece, 1994 Research Interests Kollias’s research integrates radar engineering, signal processing, and smart-sensor development to advance understanding of cloud and precipitation microphysics, boundary-layer turbulence, and satellite remote sensing . His work spans the design of novel phased-array and space-borne radars, fusion of multi-sensor observations, and agile adaptive observing strategies for weather and climate science. Key thrusts include: Development and deployment of ground-based and airborne radar networks Spaceborne cloud-profiling missions (EarthCARE, WIVERN, INCUS) High-resolution observations of marine boundary-layer clouds and polar mixed-phase systems Algorithms for retrieving vertical air motion, liquid water content, and drizzle microphysics Scientific Awards & Recognition AGU Atmospheric Sciences Ascent Award (2020) NASA Group Achievement Awards (2015, 2003) Humboldt Research Fellowship for Experienced Researchers, Germany (2013–2014) Canada Research Chair (Tier I 2012–2017, Tier II 2007–2012) Visiting Scientist Fellowship, CIRES, University of Colorado (2003–2004) Leadership & Service Since 2020 he directs the SBU–BNL Radar Observatory and since 2017 has led the Center for Multiscale Applied Sensing at BNL. Editorial roles include Editor of the AMS Journal of Applied Meteorology and Climatology (2024–present) and Associate Editor of EGU Atmospheric Measurement Techniques (2019–present). He sits on mission advisory groups for ESA EarthCARE and WIVERN, the NASA INCUS and ACCP science teams, and the DFG Collaborative Research Center CRC1502 advisory board.

Ivan ChorbevView profile

Assistant Professor

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +5 more

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

• Project Management
• Tourism Management
• Business Administration
• +3 more

Assoc. Prof. Nadia Marinova, PhD holds an academic position at the New Bulgarian University , serving in the Department of Administration and Management . With a career spanning since 1996, she has held administrative roles such as Director of the Center for Distance Learning and coordinated numerous national/international projects. Education includes a PhD in Project Management from NBU and a Master's in Economics from UNSS Sofia. She teaches courses like Marketing Strategies in Tourism and Project Management in International Tourism . Her research focuses on Marketing, Tourism, Management, and Project Management , with recent work analyzing business model changes during pandemics, IoT applications in radar systems, and risk management in tourism. While her publications address both theoretical and practical aspects, collaborative projects with organizations like ENYC and EU programs dominate her career. Her projects include EU-funded initiatives like Transborder Integrated Tourism Business Center and industry collaborations with Lukoil Neftochim Burgas. She has contributed to youth policy frameworks and developed training modules for sustainable transport and leadership programs.

Mika RuokonenView profile

Adjunct Professor

• Artificial Intelligence
• Business Strategy
• Digital Transformation
• +3 more

Mika Ruokonen serves as an Industry Professor at LUT University's Business School, with a new AI-focused industry professorship commencing in August 2025 on the Lahti campus. His role is funded by the PHP Foundation, Padasjoki Savings Bank Foundation, Lahti Industrial Association Foundation, and City of Lahti with a total of 310,000 euros for a three-year part-time position. As the largest donor, the PHP Foundation contributed 150,000 euros to this initiative. Ruokonen specializes in artificial intelligence research, particularly in business applications, collaborating with Professor Paavo Ritala. His doctoral work was completed at LUT in 2008, and he brings extensive business management experience to his academic role. He has gained recognition as an AI expert in Finnish media and internationally through numerous studies and public statements on AI strategies. His research interests center on practical AI implementation in business contexts, with focus areas including generative AI for strategic advantage, industrial AI capabilities development, AI-first business strategies, and the application of AI in European industries. His work bridges academic research with practical business applications, emphasizing how organizations can leverage AI for competitive advantage and operational transformation. Ruokonen's publication record shows a strong focus on the intersection of AI technologies and business strategy, with recent work examining generative AI, metaverse strategies, conversational AI in knowledge industries, and data-driven competitiveness. His research demonstrates a clear trajectory from foundational digital transformation concepts to cutting-edge AI applications across various business functions. His new role involves speaking at AI-related events in Lahti, with the first engagements planned for late 2025. The position aims to build 'broader shoulders for AI research' that is more extensive, faster, and less dependent on individual researchers. Ruokonen emphasizes that his contribution combines academic expertise with practical business skills and contacts, particularly supporting AI development from a management perspective. He has authored significant reports including 'Applying AI in Key European Industries' for the Finnish Innovation Fund Sitra, where he advocates for European investment in AI infrastructure, expertise, models, and data availability. His recommendations include European single market harmonization, affordable computing resources, multilingual large language models, reliable European data spaces, AI workforce training, and talent retention strategies.

Kambez H. BenamView profile

Associate Professor

• Lung biology
• Immuno-microbiology
• Tissue microengineering
• +7 more

Dr. Kambez H. Benam is an Associate Professor of Medicine and Bioengineering at the University of Pittsburgh , where he spearheads the Translational and Multidisciplinary Lung Microengineering Lab . His interdisciplinary program integrates lung biology, immuno-microbiology, tissue engineering, robotics, and AI to create human-relevant models for pulmonary medicine. Education & Training: D.Phil., University of Oxford Postdoctoral & Technology Development Fellow, Wyss Institute for Biologically Inspired Engineering, Harvard University Research Focus: Dr. Benam’s group develops Organs-on-Chips , biomimetic robotic systems , and 3D bioprinting platforms to recapitulate human lung, immune, and vascular physiology at micro- and nano-scales. They investigate inhalation toxicology, vaping-related injury, and the impact of microgravity on astronaut health using microphysiological systems (MPS). Recent Publication Trends (2016–2023): His work has advanced from foundational lung-on-chip devices ( Nature Methods, 2016 ) to translational studies on COVID-19 therapeutics ( Nano Select & Pharmacology & Therapeutics, 2021 ) and real-time robotic vaping analyzers ( iScience & Respiratory Research, 2021–2023 ). The trajectory highlights a shift toward clinical cohort integration, antiviral drug discovery, and regulatory science for e-cigarette safety. Scientific Honors: Award from the American Thoracic Society Award from the Society of Toxicology Multiple licensed patents and widespread media recognition Teams & Infrastructure: Dr. Benam’s team—comprising researchers such as Quoc Vo, Rocio Jimenez-Valdes, and Hanieh Mahvizani—is housed primarily in the Thomas E. Starzl Biomedical Science Tower . The lab is committed to reducing animal use in preclinical research while accelerating therapeutic discovery for debilitating lung disorders.

Andrei SaruaView profile

Senior Lecturer

• Materials Science
• Optical Spectroscopy
• Semiconductor Devices
• +5 more

Dr. Andrei Sarua is a Senior Lecturer at the School of Physics, University of Bristol, specializing in advanced materials and device physics. His research integrates nanotechnology, spectroscopy, and semiconductor engineering for applications in sensing and thermal management systems. Research Focus Dr. Sarua's interdisciplinary work spans: Development of bio/chemical sensors using nitride FET structures and electro-optical characterization Nano-optics and plasmonics for spectroscopic applications Micro-Raman spectroscopy for thermal analysis in high-power semiconductor devices (HFETs/LEDs) 3D thermal modeling of transistor packaging and novel material interfaces Defect/strain characterization in III-V nitride semiconductors via Raman/PL spectroscopy His research demonstrates strong emphasis on materials innovation, with recent publications exploring nanoscale stress control, satellite-based chemical detection, and CubeSat imaging systems. Awards and Honors Great Western Research Fellow (Competitively awarded, 2007-2010) Leadership and Funding Principal Investigator for: EPSRC Raman Spectrometer Upgrade project (2020-2022) H2020 NanoMedTwin consortium on biomedical nanotechnology (2018-2021) Coordinates the Materials & Devices research group and serves as EPSRC grant reviewer.

Jin Woo SongView profile

Associate Professor

• Navigation and Sensor Systems
• Control Theory
• Estimation Theory
• +7 more

Jin Woo Song is an Associate Professor in the Department of Artificial Intelligence and Robotics at Sejong University's School of Intelligent Mechatronics Engineering. He has held academic positions at Seoul National University and Hoseo University prior to joining Sejong University in 2017. His professional experience also includes serving as CTO/COO at Microinfinity Co., Ltd. from 2004-2014. Currently, he holds multiple leadership roles including Director of Sejong Enterprise Support Foundation, Director of SW-AI Convergence Center, and Provost of Sejong University. Dr. Song received his B.S., M.S., and Ph.D. in Control and Instrumentation Engineering/Electrical Engineering from Seoul National University. His educational background laid the foundation for his expertise in navigation systems and control theory. Dr. Song's research focuses on navigation and sensor systems, control theory, and estimation theory with applications in unmanned systems. His work spans MEMS inertial sensor technologies, Kalman filtering techniques, optimal and robust control theories, and fault detection algorithms. His research has significant applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems. His recent publications (2023-2025) demonstrate continued innovation in navigation systems, with emphasis on fault tolerance, sensor fusion, and improved positioning accuracy in challenging environments. His work shows strong trends toward integrating multiple sensor modalities and developing robust algorithms for real-world navigation challenges. Best student paper award, NAECON2000 (IEEE, National Aerospace and Electronics Conference), USA, 2000 Ministry Award, 'IT R&D Engineer of the Year', Ministry of Information and Communication, Republic of Korea, 2005 Best Presentation Award, ICASS 2015, 2015 Best Paper Award, KIEE Conference, 2019 Distinguished Teaching Award, Sejong University, 2021 Distinguished Research Award, Sejong University, 2022 Distinguished Professor, Sejong University, 2024 Dr. Song has served as Editor-in-Chief for ICROS journal and holds editorial positions for multiple prestigious journals including the International Journal of Aeronautical and Space Sciences. He has been actively involved in numerous research grants and industry collaborations, including a recent academic-industrial partnership with Hanwha Systems. As Vice-President of The Institute of Control, Robotics and Systems (ICROS) and various other professional organizations, he plays a significant role in shaping research directions in his field. He leads the Intelligent Navigation and Control Systems Lab at Sejong University, where his team develops cutting-edge navigation sensors and systems, optimal controllers for autonomous systems, and embedded systems for reliable navigation and control. The lab's work has direct applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems.

• Sensors
• Robotics
• Mechatronics
• +7 more

Dr. Winncy Y Du is a Professor in the Department of Mechanical Engineering at San José State University (SJSU) and directs the Robotics, Sensors, and Machine Intelligence Laboratory . She previously served as an assistant professor at Georgia Southern University and held a visiting professorship at MIT (2014-2015). PhD in Mechanical Engineering, Georgia Institute of Technology (1999) MS in Mechanical Engineering, West Virginia University (1994) MS in Electrical Engineering, Georgia Institute of Technology (1999) BS in Mechanical Engineering, Jilin University (1983) Her research focuses on sensors , robotics , and mechatronics applied to biomedical systems, automation, and control. Key projects include stroke rehabilitation robotics , pipeline leak detection , and spacecraft testbed control . Her publications span sensor technologies, medical robotics, and industrial automation. Notable scientific awards include: Fellow, American Society of Mechanical Engineers (ASME) (2010) ASME Diversity & Outreach Award (2004) Newman Brothers Award for Faculty Excellence (2014) She has led over 23 research grants and 20 industry-sponsored projects, including collaborations with NASA, Boston Scientific, and KWJ Engineering, Inc.

• Quantitative Phase Microscopy
• Optical Imaging
• Super-resolution Microscopy
• +3 more

Vishesh Kumar Dubey is a Researcher at the Department of Physics and Technology within UiT The Arctic University of Norway . He is affiliated with the Ultrasound, Microwaves and Optics research group, focusing on advanced optical imaging techniques. Current position: Researcher in Physics and Technology University: UiT The Arctic University of Norway His research spans quantitative phase microscopy, super-resolution imaging, and machine learning integration in biomedical optics . Recent work emphasizes photonic chips for histopathology, coherence effects in phase imaging, and SERS-based bacterial detection . Publications highlight collaborations with multidisciplinary teams across Europe and Asia. Key trends in his work include label-free imaging, waveguide platforms, and computational optical methods . No scientific awards or student advising details are mentioned in the provided texts.